The laws that govern the collective behavior of social insects, flocks of birds, or fish schools continue to mesmerize researchers. While individuals are rather unsophisticated, in cooperation they can solve complex tasks, a prime example being the ability of ant colonies to find shortest paths between their nests and food sources. Task-solving results from self-organization, which often evolves from simple means of communication, either directly or indirectly via changing the environment, the latter referred to as stigmergy. Scientists have applied these principles in new approaches, for example to optimization andthe control of robots. Characteristics of the resulting systems include robustness and flexibility. This field of research is now referred to as swarm intelligence. The contributing authors are among the top researchers in their domain. Combines an overview of swarm intelligence with an up-to-date treatment ofthe advances in the field INDICE: Biological Foundations of Swarm Intelligence.- Swarm Intelligence in Optimization.- Swarm Robotics.- Routing Protocols for Next-Generation Intelligent Networks Inspired by Collective Behaviors of Insect Societies.- Evolution, Self-organization and Swarm Robotics.- Particle Swarms for Dynamic Optimization Problems.- An Agent-Based Approach to Self-organized Production.- Organic Computing and Swarm Intelligence.
- ISBN: 978-3-540-74088-9
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 285
- Fecha Publicación: 01/03/2008
- Nº Volúmenes: 1
- Idioma: Inglés